@theneurondaily: A 1M-token AI still isn’t built for 20M rows 📊 Alexandre Pasquiou, CEO of Neuralk, says large context windows do not fix the core problem with spreadsheets. Prediction needs a model that understands rows, columns and distributions, not a text model flattening the table. Seldon is built for that job, scaling to 20 million rows and more than 600 columns. 👉 Watch the full episode of "Are we wasting billions trying to scale large language models for predicting the future?" on The Neuron: AI Explained Podcast. Link in bio! #AI #EnterpriseAI #DataScience #PredictiveAI #Spreadsheets #Neuralk #TheNeuron